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browse_products

Browse grocery products by department, with filters for aisle, specials only, and provider. Access product listings from NZ supermarkets.

Instructions

Browse products by department. Departments: fruit-veg, meat-poultry, fish-seafood, fridge-deli, bakery, frozen, pantry, beer-wine, drinks, health-body, household, baby-child, pet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aisleNoAisle filter, e.g. "fresh-deals".
pageSizeNoProducts per API request (default: 120).
providerNoShopping provider id (default: "countdown").
departmentYesDepartment slug, e.g. "fruit-veg".
maxProductsNoMax products to return (default: all).
specialsOnlyNoOnly specials (default: false).
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the burden. It only lists departments and does not disclose behavioral traits such as pagination (pageSize), results limit (maxProducts), filtering (specialsOnly, aisle), or that it returns a list of products. This is insufficient for a tool with six parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: one sentence plus a list of departments. It is front-loaded and every element is relevant. No wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has six parameters and no output schema, the description is incomplete. It does not mention that the tool returns products, that filters like pageSize or specialsOnly exist, or how results are limited. More detail is needed for effective agent usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no extra meaning beyond listing departments, which is part of the department parameter. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Browse products by department' and lists available departments, making the verb and resource specific. It distinguishes from siblings like search_products and get_specials by focusing on browsing by department.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for browsing products by department but provides no explicit guidance on when to use this tool versus alternatives like search_products or get_specials. No exclusions or context are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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